main.cpp
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#include "FFNvDecoderManager.h"
#include <iostream>
#include "cuda_kernels.h"
#include "NvJpegEncoder.h"
#include <pthread.h>
#include <thread>
#include <chrono>
unsigned char *pHwRgb[2] = {nullptr, nullptr};
int sum1 = 0;
int sum2 = 0;
cudaStream_t stream[2];
/**
* 注意： gpuFrame 在解码器设置的显卡上，后续操作要十分注意这一点，尤其是多线程情况
* */
void postDecoded(const void * userPtr, AVFrame * gpuFrame){
FFNvDecoder* decoder = (FFNvDecoder*)userPtr;
if (decoder!= nullptr)
{
// cout << "decode name: " << decoder->getName() << endl;
// const char* gpu_pixfmt = av_get_pix_fmt_name((AVPixelFormat)gpuFrame->format);
// cout << "pixfmt: " << gpu_pixfmt << endl;
// cout << "keyframe: " << gpuFrame->key_frame << " width: " << gpuFrame->width << " height: "<< gpuFrame->height << endl;
// cout << "decode successed ✿✿ヽ(°▽°)ノ✿ " << endl;
int sum = sum1;
if (decoder->getName() == "dec1")
{
sum1 ++ ;
sum = sum1;
if (gpuFrame->format == AV_PIX_FMT_CUDA)
{
cout << "gpuid = " << atoi(decoder->m_cfg.gpuid.c_str()) << endl;
cudaSetDevice(atoi(decoder->m_cfg.gpuid.c_str()));
cudaError_t cudaStatus;
if(pHwRgb[0] == nullptr){
// cudaStreamCreate(&stream[0]);
cuda_common::setColorSpace2( ITU709, 0 );
cudaStatus = cudaMalloc((void **)&pHwRgb[0], 3 * gpuFrame->width * gpuFrame->height * sizeof(unsigned char));
}
cudaStatus = cuda_common::CUDAToBGR((CUdeviceptr)gpuFrame->data[0],(CUdeviceptr)gpuFrame->data[1], gpuFrame->linesize[0], gpuFrame->linesize[1], pHwRgb[0], gpuFrame->width, gpuFrame->height);
cudaDeviceSynchronize();
if (cudaStatus != cudaSuccess) {
cout << "CUDAToBGR failed !!!" << endl;
return;
}
string path = "/home/cmhu/data/" + decoder->getName() + "/" + to_string(sum) + ".jpg";
saveJpeg(path.c_str(), pHwRgb[0], gpuFrame->width, gpuFrame->height, stream[0]); // 验证 CUDAToRGB
}
} else if (decoder->getName() == "dec2")
{
sum2 ++ ;
sum = sum2;
if (gpuFrame->format == AV_PIX_FMT_CUDA)
{
cout << "gpuid = " << atoi(decoder->m_cfg.gpuid.c_str()) << endl;
cudaSetDevice(atoi(decoder->m_cfg.gpuid.c_str()));
cudaError_t cudaStatus;
if(pHwRgb[1] == nullptr){
// cudaStreamCreate(&stream[1]);
cuda_common::setColorSpace2( ITU709, 0 );
cudaStatus = cudaMalloc((void **)&pHwRgb[1], 3 * gpuFrame->width * gpuFrame->height * sizeof(unsigned char));
}
cudaStatus = cuda_common::CUDAToBGR((CUdeviceptr)gpuFrame->data[0],(CUdeviceptr)gpuFrame->data[1], gpuFrame->linesize[0], gpuFrame->linesize[1], pHwRgb[1], gpuFrame->width, gpuFrame->height);
cudaDeviceSynchronize();
if (cudaStatus != cudaSuccess) {
cout << "CUDAToBGR failed !!!" << endl;
return;
}
string path = "/home/cmhu/data/" + decoder->getName() + "/" + to_string(sum) + ".jpg";
saveJpeg(path.c_str(), pHwRgb[1], gpuFrame->width, gpuFrame->height, stream[1]); // 验证 CUDAToRGB
}
}
}
}
long start_time = 0;
long end_time = 0;
bool count_flag = false;
int count = 0;
int count_std = 100;
long long get_cur_time(){
// 获取操作系统当前时间点（精确到微秒）
chrono::time_point<chrono::system_clock, chrono::microseconds> tpMicro
= chrono::time_point_cast<chrono::microseconds>(chrono::system_clock::now());
// (微秒精度的)时间点 => (微秒精度的)时间戳
time_t totalMicroSeconds = tpMicro.time_since_epoch().count();
long long currentTime = ((long long)totalMicroSeconds)/1000;
return currentTime;
}
int sum = 0;
unsigned char *pHwData = nullptr;
void postDecoded0(const void * userPtr, AVFrame * gpuFrame){
FFNvDecoder* decoder = (FFNvDecoder*)userPtr;
if (decoder!= nullptr)
{
// cout << "decode name: " << decoder->getName() << endl;
if (decoder->getName() == "dec")
{
if (! count_flag)
{
count_flag = true;
count = 0;
end_time = start_time = get_cur_time();
}
count++;
sum ++ ;
if (count >= count_std)
{
end_time = get_cur_time();
long time_using = end_time - start_time;
double time_per_frame = double(time_using)/count_std ;
cout << count_std << "帧用时:" << time_using << "ms 每帧用时：" << time_per_frame << "ms" << endl;
cout << "keyframe: " << gpuFrame->key_frame << " width: " << gpuFrame->width << " height: "<< gpuFrame->height << endl;
cout << gpuFrame->pts << endl;
count_flag = false;
}
if (gpuFrame->format == AV_PIX_FMT_CUDA)
{
cudaSetDevice(atoi(decoder->m_cfg.gpuid.c_str()));
cout << "gpu id : " << decoder->m_cfg.gpuid.c_str() << endl;
cudaError_t cudaStatus;
if(pHwData == nullptr){
cuda_common::setColorSpace2( ITU709, 0 );
cudaStatus = cudaMalloc((void **)&pHwData, 3 * gpuFrame->width * gpuFrame->height * sizeof(unsigned char));
}
cudaStatus = cuda_common::CUDAToBGR((CUdeviceptr)gpuFrame->data[0],(CUdeviceptr)gpuFrame->data[1], gpuFrame->linesize[0], gpuFrame->linesize[1], pHwData, gpuFrame->width, gpuFrame->height);
cudaDeviceSynchronize();
if (cudaStatus != cudaSuccess) {
cout << "CUDAToBGR failed !!!" << endl;
return;
}
string path = "/home/cmhu/data/test/" + to_string(sum) + ".jpg";
saveJpeg(path.c_str(), pHwData, gpuFrame->width, gpuFrame->height, nullptr); // 验证 CUDAToRGB
}
}
}
}
// string test_uri = "rtmp://192.168.10.56:1935/objecteye/1";
// string test_uri = "/home/cmhu/data/output_800x480.mp4";
string test_uri = "/home/cmhu/data/output_1920x1080.mp4";
void createDecode(int index){
FFNvDecoderManager* pDecManager = FFNvDecoderManager::getInstance();
MgrDecConfig config;
config.name = "dec" + to_string(index);
config.cfg.uri = test_uri;
config.cfg.post_decoded_cbk = postDecoded;
config.cfg.force_tcp = true;
if (index % 2 == 0)
{
config.cfg.gpuid = "2";
}
else
{
config.cfg.gpuid = "1";
}
FFNvDecoder* decoder = pDecManager->createDecoder(config);
if (!decoder)
{
return ;
}
pDecManager->setUserPtr(config.name, decoder);
pDecManager->startDecodeByName(config.name);
}
#define checkCudaErrors(S) do {CUresult status; \
status = S; \
if (status != CUDA_SUCCESS ) std::cout << __LINE__ <<" checkCudaErrors - status = " << status << std::endl; \
} while (false)
int CheckCUDAProperty( int devId )
{
cuInit(0);
CUdevice dev = devId;
size_t memSize = 0;
char devName[256] = {0};
int major = 0, minor = 0;
CUresult rlt = CUDA_SUCCESS;
rlt = cuDeviceComputeCapability( &major, &minor, dev );
checkCudaErrors( rlt );
rlt = cuDeviceGetName( devName, sizeof( devName ), dev );
checkCudaErrors( rlt );
printf( "Using GPU Device %d: %s has SM %d.%d compute capability\n",
dev, devName, major, minor );
rlt = cuDeviceTotalMem( &memSize, dev );
checkCudaErrors( rlt );
printf( "Total amount of global memory: %4.4f MB\n",
(float)memSize / ( 1024 * 1024 ) );
return 0;
}
int main(){
CheckCUDAProperty(1);
FFNvDecoderManager* pDecManager = FFNvDecoderManager::getInstance();
int count = 99;
for (size_t i = 0; i < count ; i++)
{
createDecode(i);
}
MgrDecConfig config;
config.name = "dec";
config.cfg.uri = test_uri;
config.cfg.post_decoded_cbk = postDecoded0;
config.cfg.force_tcp = true;
config.cfg.gpuid = "1";
FFNvDecoder* dec2 = pDecManager->createDecoder(config);
if (!dec2)
{
return 1;
}
pDecManager->setUserPtr(config.name, dec2);
pDecManager->startDecodeByName(config.name);
pthread_t m_decode_thread;
pthread_create(&m_decode_thread,0,
[](void* arg)
{
while (true)
{
std::this_thread::sleep_for(std::chrono::milliseconds(5000));
FFNvDecoderManager* pDecManager = FFNvDecoderManager::getInstance();
int count = pDecManager->count();
cout << "当前运行路数： " << pDecManager->count() << endl;
if (count <= 0)
{
break;
}
}
return (void*)0;
}
,nullptr);
// config.name = "dec0";
// config.cfg.uri = "rtmp://192.168.10.56:1935/objecteye/1";
// config.cfg.gpuid = "0";
// FFNvDecoder* dec0 = pDecManager->createDecoder(config);
// if (!dec0)
// {
// return 1;
// }
// pDecManager->setUserPtr(config.name, dec0);
// pDecManager->startDecodeByName(config.name);
// config.name = "dec01";
// config.cfg.uri = "rtmp://192.168.10.56:1935/objecteye/1";
// config.cfg.gpuid = "0";
// FFNvDecoder* dec01 = pDecManager->createDecoder(config);
// if (!dec01)
// {
// return 1;
// }
// pDecManager->setUserPtr(config.name, dec01);
// pDecManager->startDecodeByName(config.name);
// while (getchar() != 'q');
// // pDecManager->closeDecoderByName("dec1");
// // pDecManager->pauseDecoder("dec1");
// pDecManager->pauseDecoder("dec2");
// while (getchar() != 'q');
// // pDecManager->resumeDecoder("dec1");
// pDecManager->resumeDecoder("dec2");
cout << "总共帧数：" << sum << endl;
while (getchar() != 'q');
pDecManager->closeAllDecoder();
}